285 citations · 475 across the 20 of their papers we have counts for
9 papers · 1 filter
clifford_qc: A Python Toolkit for Quantum Simulation
Ginanjar Utama, Hermawan Kresno Dipojono
clifford_qc is a Python research toolkit for constructing quantum models, comparing variational and subspace eigensolvers, and estimating measurement resources. A common sparse Pau…
DA-CASE: reusable measurements for adaptive quantum subspaces
Ginanjar Utama, Hermawan Kresno Dipojono
Quantum subspace methods are often compared by basis dimension or energyerror, although their dominant experimental costs arise from different statepreparations, measurement settin…
Tree-Structured Commutativity Packing in Adaptive Variational Quantum Simulation: Measurement Overhead and Representation Limits
Hermawan Kresno Dipojono
While fermion-to-qubit isomorphisms are mathematically invariant under exact unitary statevector transformations, their physical implementation on noisy intermediate-scale quantum…
Adaptive operator-generated subspaces for effective many-body Hamiltonians
Ginanjar Utama, Hermawan Kresno Dipojono
Electronic-structure and embedding workflows terminate in effective many-body Hamiltonians, whereas quantum eigensolver studies often start from hand-built qubit models. We present…
Operator-centric Clifford algebra for variational eigensolvers and finite-shot adaptive selection
Ginanjar Utama, Hermawan Kresno Dipojono
We develop a sparse operator-centric realization of -qubit variational quantum algorithms in the complex Clifford algebra . D…
An Integrated DFT-Wannier-Quantum Embedding Pipeline for Strongly Correlated Materials: Scaling Benchmarks in Li-hBN
Hermawan Kresno Dipojono
The seamless integration of Density Functional Theory (DFT) with quantum variational algorithms is essential for the predictive simulation of strongly correlated materials. In this…
Alleviating the Sparse Matrix Scaling Bottleneck in Adaptive VQE via Greedy Operator Commutativity Partitioning and High-Order Taylor State Evolution
Hermawan Kresno Dipojono
The Variational Quantum Eigensolver (VQE) and its adaptive variants, such as ADAPT-VQE, are central to the study of strongly correlated quantum systems. However, the classical simu…
Alleviating the Sparse Matrix Scaling Bottleneck in Adaptive VQE via High-Order Taylor State Evolution
Hermawan Kresno Dipojono
The Variational Quantum Eigensolver (VQE) is a leading algorithm for noisy intermediate-scale quantum (NISQ) devices, but its adaptive variants (e.g., ADAPT-VQE) suffer from severe…
Shattering the Symmetry Trap in Fixed-Ansatz VQE: An Accelerated ADAPT-VQE Study of Three Pillar Molecules under Bravyi-Kitaev Mapping
Hermawan Kresno Dipojono
Fixed-ansatz Variational Quantum Eigensolvers (VQE), such as the Unitary Coupled Cluster with Singles and Doubles (UCCSD) framework, frequently suffer from severe initialization pa…